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DeepBioNet_dataset_BCCD_WBC_Classifition

Customized Dataset

Deep Bio-Net Dataset

Dataset Description:

Dimension: 640 × 480px
Resolution: 96dpi
Subtypes: RBCs, WBCs, Platelets

Dataset Splits:

DTrain:
    Subtypes: RBCs, WBCs, Platelets
    Size: 2000
DTest:
    Subtypes: RBCs, WBCs, Platelets
    Size: 100
DVal:
    Subtypes: RBCs, WBCs, Platelets
    Size: 80

WBC Dataset

Dataset Description:

Dimension: 640 × 480px
Resolution: 96dpi
Subtypes: Neutrophil, Lymphocyte, Monocyte, Eosinophil

Dataset Splits:

DTrain:
    Neutrophil: 2000
    Lymphocyte: 2206
    Monocyte: 1920
    Eosinophil: 1859
DTest:
    Neutrophil: 536
    Lymphocyte: 597
    Monocyte: 518
    Eosinophil: 505
DVal:
    Neutrophil: 286
    Lymphocyte: 257
    Monocyte: 270
    Eosinophil: 264

Dataset Collection Procedure:

Image Capturing:
    Microscopic examination using Olympus BX53 microscope (4× to 100× magnification)
    Image acquisition with white filter light source and 100× objective lens
    EP50 camera with 0.5× ex-focus factor captured high-resolution images (12,344 × 12,344 pixels) stored in TIFF format

Preprocessing and Blood Cells Annotation:
    Resizing to 640 × 480 pixels in JPEG format
    Annotation using graphical annotation tool, saved in XML format (PASCAL VOC standard)
    Integration of subset of WBC dataset images with BCCD dataset

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